![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Andrey S. Krylov
Person information
- affiliation: Lomonosov Moscow State University, Moscow, Russia
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j28]G. S. Nazarenko, Andrey S. Krylov:
Neural Network Method for Detecting Blur in Histological Images. Program. Comput. Softw. 50(3): 224-230 (2024) - [j27]Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov:
Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images. Program. Comput. Softw. 50(3): 257-263 (2024) - 2023
- [j26]Maksim A. Penkin
, Alexander V. Khvostikov
, Andrey S. Krylov
:
Automated Method for Optimum Scale Search when Using Trained Models for Histological Image Analysis. Program. Comput. Softw. 49(3): 172-177 (2023) - [j25]Nikita D. Lokshin
, Alexander V. Khvostikov
, Andrey S. Krylov
:
Augmenting the Training Set of Histological Images with Adversarial Examples. Program. Comput. Softw. 49(3): 187-191 (2023) - [c46]Maksim A. Penkin
, Andrey S. Krylov
:
Medical Image Joint Deringing and Denoising using Fourier Neural Operator. ICBSP 2023: 40-45 - [c45]Alexander V. Khvostikov
, Vladimir Ippolitov
, Andrey S. Krylov
, Ilya Mikhailov
, Pavel Malkov
:
PathScribe: new software to work with whole slide histological images for education and research. ICBSP 2023: 63-70 - 2022
- [c44]Paulo Henrique de C. Oliveira, Mylène C. Q. Farias, Daniel S. Ferreira
, Andrey S. Krylov, Yong Ding:
Using a Saliency-Driven Convolutional Neural Network Framework for Brain Tumor Detection. ICMHI 2022: 9-13 - [c43]Alexander V. Khvostikov
, Andrey S. Krylov
, Ilya Mikhailov
, Pavel Malkov
:
Visualization and Analysis of Whole Slide Histological Images. ICPR Workshops (2) 2022: 403-413 - [c42]Aline A. S. Thomaz, Jonathan A. S. Lima, Cristiano Jacques Miosso, Mylène C. Q. Farias, Andrey S. Krylov, Yong Ding:
Undersampled Magnetic Resonance Image Reconstructions Based on a Combination of U-Nets and L1, L2, and TV Optimizations. IST 2022: 1-6 - 2021
- [j24]Jiale Li
, Yu Sun
, Shujie Luo
, Ziqi Zhu
, Hang Dai
, Andrey S. Krylov
, Yong Ding
, Ling Shao
:
P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds. IEEE Access 9: 98249-98260 (2021) - [j23]Maxim A. Penkin
, Andrey S. Krylov, Alexander V. Khvostikov
:
Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images. Program. Comput. Softw. 47(3): 207-214 (2021) - 2020
- [j22]D. A. Lyukov, Andrey S. Krylov, Vassili A. Lukshin, D. Yu. Usachev:
Projection Method for Deconvolution-Based CT Brain Perfusion. Program. Comput. Softw. 46(3): 217-222 (2020) - [j21]Guangming Sun
, Bufan Shi
, Xiaodong Chen, Andrey S. Krylov
, Yong Ding
:
Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks. IEEE Trans. Multim. 22(11): 2938-2949 (2020) - [c41]Alexander V. Khvostikov
, Andrey S. Krylov, Ilya Mikhailov
, Pavel Malkov:
CNN Assisted Hybrid Algorithm for Medical Images Segmentation. ICBIP 2020: 14-19 - [c40]Valeriy E. Karnaukhov, Andrey S. Krylov, Yong Ding, Mylène C. Q. Farias:
Hybrid Method for Biomedical Image Poisson Denoising. ICBIP 2020: 32-36 - [c39]Alexandr Yu. Kondrati'ev, Hideyuki Yaginuma, Yasushi Okada
, Andrey S. Krylov, Dmitry V. Sorokin:
A Method for Automatic Tracking of Cell Nuclei With Weakly-Supervised Mitosis Detection in 2D Microscopy Image Sequences. ICBIP 2020: 67-73 - [i4]Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. CoRR abs/2004.04962 (2020)
2010 – 2019
- 2019
- [j20]Xiaogang Xu
, Bufan Shi
, Zijin Gu, Ruizhe Deng
, Xiaodong Chen, Andrey S. Krylov, Yong Ding:
3D No-Reference Image Quality Assessment via Transfer Learning and Saliency-Guided Feature Consolidation. IEEE Access 7: 85286-85297 (2019) - [j19]Yong Ding, Yang Zhao, Xiaodong Chen, Xiaolei Zhu, Andrey S. Krylov:
Stereoscopic image quality assessment by analysing visual hierarchical structures and binocular effects. IET Image Process. 13(10): 1608-1615 (2019) - [j18]A. A. Dovganich, Andrey S. Krylov:
A Nonlocal Image Denoising Algorithm Using the Structural Similarity Metric. Program. Comput. Softw. 45(4): 141-146 (2019) - [c38]Andrey S. Krylov, Valeriy E. Karnaukhov, Nikolay V. Mamaev, Alexander V. Khvostikov
:
Hybrid Method for Biomedical Image Denoising. ICBSP 2019: 60-64 - [c37]Yakov Pchelintsev, Andrey V. Nasonov, Andrey S. Krylov, Sawako Enoki, Yasushi Okada
:
Enhancement Algorithms for Blinking Fluorescence Imaging. ICBSP 2019: 72-77 - [c36]Andrey S. Krylov, Maxim A. Penkin
, Nikolay V. Mamaev, Alexander V. Khvostikov
:
How to choose adaptively parameters of image denoising methods? IPTA 2019: 1-6 - [c35]Andrey V. Nasonov, Nikolay V. Mamaev, Andrey S. Krylov:
An Investigation of Denoising Parameters Choice in two Perona-Malik Models. SITIS 2019: 61-66 - [c34]Andrey V. Nasonov, Andrey S. Krylov:
Image Sharpening by Grid Warping with Curvature Analysis. SITIS 2019: 262-267 - 2018
- [j17]Yong Ding, Ruizhe Deng
, Xin Xie, Xiaogang Xu, Yang Zhao, Xiaodong Chen, Andrey S. Krylov:
No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction. IEEE Access 6: 37595-37603 (2018) - [j16]Guangming Sun
, Yong Ding, Ruizhe Deng
, Yang Zhao, Xiaodong Chen, Andrey S. Krylov:
Stereoscopic Image Quality Assessment by Considering Binocular Visual Mechanisms. IEEE Access 6: 51337-51347 (2018) - [j15]Fedor Guryanov, Andrey S. Krylov:
Optimization Method for Cell Image Registration. Program. Comput. Softw. 44(4): 266-270 (2018) - [c33]Karim Aderghal, Alexander V. Khvostikov, Andrei S. Krylov, Jenny Benois-Pineau
, Karim Afdel, Gwenaelle Catheline:
Classification of Alzheimer Disease on Imaging Modalities with Deep CNNs Using Cross-Modal Transfer Learning. CBMS 2018: 345-350 - [c32]Nikolay V. Mamaev, Dmitry V. Yurin, Andrey S. Krylov:
Choice of the Parameter for BM3D Denoising Algorithm Using No- Reference Metric. EUVIP 2018: 1-6 - [c31]Andrey V. Nasonov, Andrey S. Krylov:
An Improvement of BM3D Image Denoising and Deblurring Algorithm by Generalized Total Variation. EUVIP 2018: 1-4 - [c30]Andrey V. Nasonov, Yakov Pchelintsev, Andrey S. Krylov:
Grid Warping Postprocessing for Linear Motion Blur in Images. EUVIP 2018: 1-5 - [c29]Andrey S. Krylov, Fedor Guryanov, Nikolay V. Mamaev, Dmitry V. Yurin:
Fast Estimation of Downsampling Factor for Biomedical Image Registration. ICBSP 2018: 36-40 - [c28]Andrey S. Krylov, Andrey V. Nasonov, Konstantin Chesnakov, Alexandra A. Nasonova, Seung Oh Jin, Uk Kang, Sang Min Park:
Vessel Preserving CNN-Based Image Resampling of Retinal Images. ICIAR 2018: 589-597 - [i3]Alexander V. Khvostikov, Karim Aderghal, Jenny Benois-Pineau, Andrey S. Krylov, Gwenaelle Catheline:
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. CoRR abs/1801.05968 (2018) - [i2]Alexander V. Khvostikov, Andrey S. Krylov, Olga Kharlova
, N. Oleynikova, Ilya Mikhailov
, Pavel Malkov:
Histological images segmentation of mucous glands. CoRR abs/1806.07781 (2018) - [i1]Alexander V. Khvostikov, Karim Aderghal
, Andrey S. Krylov, Gwenaelle Catheline, Jenny Benois-Pineau:
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. CoRR abs/1809.03972 (2018) - 2017
- [j14]A. D. Gusev, Andrey V. Nasonov, Andrey S. Krylov:
Fast parallel grid warping-based image sharpening method. Program. Comput. Softw. 43(4): 230-233 (2017) - [j13]Alexander V. Khvostikov
, Andrey S. Krylov, Julius Kamalov
, Alina Megroyan:
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics. Signal Process. Image Commun. 59: 3-11 (2017) - [j12]Fedor Guryanov, Andrey S. Krylov:
Fast medical image registration using bidirectional empirical mode decomposition. Signal Process. Image Commun. 59: 12-17 (2017) - [c27]Nikolay V. Mamaev, Dmitry V. Yurin, Andrey S. Krylov:
Image Ridge Denoising Using No-Reference Metric. ACIVS 2017: 591-601 - [c26]Nadezhda A. Anoshina, Andrey S. Krylov, Dmitry V. Sorokin:
Correlation-based 2D registration method for single particle cryo-EM images. IPTA 2017: 1-6 - [c25]Andrey S. Krylov, Andrey V. Nasonov, Yakov Pchelintsev:
Single parameter post-processing method for image deblurring. IPTA 2017: 1-6 - 2016
- [c24]Andrey V. Nasonov, Andrey S. Krylov, Konstantin Chesnakov:
An image resampling method using combined directional kernels. EUVIP 2016: 1-5 - [c23]Andrey V. Nasonov, Andrey S. Krylov, Xenya Petrova, Michael N. Rychagov:
Edge-directional interpolation algorithm using structure tensor. Image Processing: Algorithms and Systems 2016: 1-4 - 2015
- [j11]A. V. Kvostikov, Andrey S. Krylov
, U. R. Kamalov:
Ultrasound image texture analysis for liver fibrosis stage diagnostics. Program. Comput. Softw. 41(5): 273-278 (2015) - [j10]Alexandra A. Nasonova, Andrey S. Krylov
:
Deblurred Images Post-Processing by Poisson Warping. IEEE Signal Process. Lett. 22(4): 417-420 (2015) - [c22]Andrey V. Nasonov, Alexandra A. Nasonova, Andrey S. Krylov
:
Edge Width Estimation for Defocus Map from a Single Image. ACIVS 2015: 15-22 - [c21]Alexey V. Umnov, Andrey S. Krylov
, Andrey V. Nasonov:
Ringing Artifact Suppression Using Sparse Representation. ACIVS 2015: 35-45 - [c20]Artem M. Yatchenko, Andrey S. Krylov
:
Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping. FIMH 2015: 265-272 - [c19]I. Sitdikov, Fedor Guryanov, Andrey S. Krylov:
Accelerated mutual entropy maximization for biomedical image registration. IPTA 2015: 337-340 - [c18]Alexander V. Khvostikov
, Andrey S. Krylov, Julius Kamalov
, Alina Megroyan:
Influence of ultrasound despeckling on the liver fibrosis classification. IPTA 2015: 440-445 - [c17]Andrey S. Krylov, Andrey V. Nasonov:
3D Image Sharpening by Grid Warping. IScIDE (1) 2015: 441-450 - 2014
- [j9]Yong Ding, Yuan Zhang, Xiang Wang, Xiaolang Yan, Andrey S. Krylov
:
Perceptual image quality assessment metric using mutual information of Gabor features. Sci. China Inf. Sci. 57(3): 1-9 (2014) - [j8]Artem M. Yatchenko, Andrey S. Krylov
, Valeriy A. Sandrikov
, Tatyana Yu. Kulagina:
Regularizing method for phase antialiasing in color doppler flow mapping. Neurocomputing 139: 77-83 (2014) - [c16]Alexandra A. Nasonova, Andrey V. Nasonov, Andrey S. Krylov
, Ivan Pechenko, Alexey V. Umnov, Natalia Makhneva:
Image Warping in Dermatological Image Hair Removal. ICIAR (2) 2014: 159-166 - [c15]Andrey V. Nasonov, Andrey S. Krylov
:
Grid warping in total variation image enhancement methods. ICIP 2014: 4517-4521 - 2012
- [j7]Kuo-Liang Chung, Yong-Huai Huang, Shi-Ming Shen, Andrey S. Krylov
, Dmitry V. Yurin, Ekaterina V. Semeikina:
Efficient sampling strategy and refinement strategy for randomized circle detection. Pattern Recognit. 45(1): 252-263 (2012) - [c14]Alexandra A. Chernomorets, Andrey S. Krylov
:
Blur detection in fundus images. BMEI 2012: 243-246 - [c13]Artem M. Yatchenko, Andrey S. Krylov
:
Iterative Phase Unwrapping in Color Doppler Flow Mapping. IScIDE 2012: 330-338 - 2011
- [j6]Anna A. Gorbenko
, Maxim M. Mizotin, Vladimir Yu. Popov
, Andrey S. Krylov:
The problem of sensor placement for triangulation-based localisation. Int. J. Autom. Control. 5(3): 245-253 (2011) - [c12]Andrey S. Krylov
, Andrey V. Nasonov:
Edge-Directed Image Interpolation Using Color Gradient Information. ICIAP (2) 2011: 40-49 - [c11]A. S. Semashko, Andrey S. Krylov
, A. S. Rodin:
Using Blood Vessels Location Information in Optic Disk Segmentation. ICIAP (2) 2011: 384-393 - [c10]Dmitry V. Sorokin, Maxim M. Mizotin
, Andrey S. Krylov
:
Gauss-Laguerre Keypoints Extraction Using Fast Hermite Projection Method. ICIAR (1) 2011: 284-293 - [c9]Andrey S. Krylov
, Dmitry V. Sorokin, Dmitry V. Yurin, Ekaterina V. Semeikina:
Use of Color Information for Keypoints Detection and Descriptors Construction. IScIDE 2011: 389-396 - [c8]Andrey S. Krylov
, Dmitry V. Sorokin:
Gauss-Laguerre keypoints descriptors for color images. VCIP 2011: 1-4 - [c7]Artem M. Yatchenko, Andrey S. Krylov
, Andrey V. Gavrilov
, Ivan V. Arkhipov:
Graph-cut based antialiasing for Doppler ultrasound color flow medical imaging. VCIP 2011: 1-4 - 2010
- [j5]Srdjan Stankovic, Irena Orovic
, Andrey S. Krylov
:
Video Frames Reconstruction Based on Time-Frequency Analysis and Hermite Projection Method. EURASIP J. Adv. Signal Process. 2010 (2010) - [c6]Andrey V. Nasonov, Andrey S. Krylov
:
Fast Super-Resolution Using Weighted Median Filtering. ICPR 2010: 2230-2233
2000 – 2009
- 2009
- [c5]Andrey S. Krylov
, Andrey V. Nasonov:
Adaptive Image Deblurring with Ringing Control. ICIG 2009: 72-75 - [c4]Andrey S. Krylov
, Alexey S. Lukin, Andrey V. Nasonov:
Edge-preserving nonlinear iterative image resampling method. ICIP 2009: 385-388 - [c3]Andrey V. Nasonov, Andrey S. Krylov
:
Scale-space method of image ringing estimation. ICIP 2009: 2793-2796 - 2008
- [j4]G. V. Borisenko, A. M. Denisov, Andrey S. Krylov
:
A diffusion method for image filtering and sharpening. Program. Comput. Softw. 34(5): 267-270 (2008) - [c2]Andrey S. Krylov
, Andrey V. Nasonov:
Adaptive total variation deringing method for image interpolation. ICIP 2008: 2608-2611 - 2006
- [c1]Andrey S. Krylov, Danil Korchagin:
Fast Hermite Projection Method. ICIAR (1) 2006: 329-338 - 2004
- [j3]G. V. Borisenko, A. M. Denisov, Andrey S. Krylov
:
A Diffusion Filtering Method for Image Processing. Program. Comput. Softw. 30(5): 273-277 (2004) - 2003
- [j2]Alexander Zhirkov, D. N. Kortchagine, Alexey S. Lukin, Andrey S. Krylov
, Yuri Bayakovskii:
Graphic Representation Method and Neural Network Recognition of Time-Frequency Vectors of Speech Information. Program. Comput. Softw. 29(4): 210-218 (2003)
1970 – 1979
- 1979
- [j1]Andrey S. Krylov, S. L. Grokhovsky, A. S. Zasedatelev, A. L. Zhuze, G. V. Gursky, B. P. Gottikh:
Quantitative estimation of the contribution of pyrrolcarboxamide groups of the antibiotic distamycin A into specificity of its binding to DNA AT pairs. Nucleic Acids Res. 6(1): 289-304 (1979)
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-20 21:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint